Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)

ATMRI at NTU is seeking a highly motivated Research Associate to join its interdisciplinary team working at the intersection of Artificial Intelligence (AI), Natural Language Processing (NLP)/Large Language Models (LLMs), and Multi-Agent Systems (MAS). This role involves both fundamental and applied research in intelligent systems for air traffic operations.

Key Responsibilities:

• Conduct research in:

  • NLP tasks including language understanding, generation, summarization, and dialogue systems.

  • Advanced retrieval augmented generation techniques and Agentic AI frameworks.

  • Time-series analysis and time-series foundation models.

• Develop and evaluate AI models:

  • Agent-based and LLM-based models using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain.

  • Prototypes for LLM-powered decision-support systems and language interfaces.

• Develop GenAI POCs with safety-critical application as central focus.

• Curate, process, and analyze air traffic and domain-relevant textual data.

• Design and implement simulation platforms and experimental pipelines for algorithm validation.

• Visualize simulation and experimental results to support decision-making and research findings.

• Contribute to:

  • High-impact publications and technical reports.

  • Project proposals, internal knowledge transfer, and collaborative research efforts

• Collaborate with industry and academic stakeholders for real-world integration of AI solutions

Requirements:

• Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field.

• Strong foundations in multi-agent systems, NLP and python programming.

• Good writing and communication skills.

• Able to work independently, work comfortably with team and external/international collaborators.

We regret to inform that only shortlisted candidates will be notified.